Modelling and Simulation in Engineering

Volume 2019, Article ID 1024365, 15 pages

https://doi.org/10.1155/2019/1024365

## Mathematical Modeling of Multiple Quality Characteristics of a Laser Microdrilling Process Used in Al7075/SiC_{p} Metal Matrix Composite Using Genetic Programming

Department of Mechanical Engineering, College of Engineering and Islamic Architecture, Umm Al-Qura University, Al-Abdiah, Makkah 24231, Saudi Arabia

Correspondence should be addressed to Mohammed Yunus; moc.liamffider@demmahom.sunuy

Received 16 August 2018; Accepted 12 November 2018; Published 2 January 2019

Academic Editor: Aiguo Song

Copyright © 2019 Mohammed Yunus and Mohammad S. Alsoufi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

#### Abstract

The conventional method for machining metal matrix composites (MMCs) is difficult on account of their excellent characteristics compared with those of their source materials. Modern laser machining technology is a suitable noncontact method for machining operations of advanced engineering materials due to its novel advantages such as higher productivity, ease of adaptation to automation, minimum heat affected zone (HAZ), green manufacturing, decreased processing costs, improved quality, reduced wastage, removal of finishing operations, and so on. Their application includes hole drilling in an aircraft engine components such as combustion chambers, nozzle guide vanes, and turbine blades made up of MMCs which meet quality standards that determine their suitability for service use. This paper presents a derived mathematical model based on evolutionary computation methods using multivariate regression fitting for the prediction of multiple characteristics (circularity, taper, spatter, and HAZ) of neodymium: yttrium aluminum garnet laser drilling of aluminum matrix/silicon carbide particulate (Al/SiCp) MMCs using genetic programming. Laser drilling input factors such as laser power, pulse frequency, gas pressure, and pulse width are utilized. From a training dataset, different genetic models for multiple quality characteristics were obtained with great accuracy during simulated evolution to provide a more accurate prediction compared to empirical correlations.

#### 1. Introduction

Metal matrix composites (MMCs) are substances which blend a tough metallic matrix with a hard ceramic reinforcement possessing excellent features such as high strength to wear ratio, high modulus, and wear and corrosion resistance [1]. MMCs are broadly used in the fields of the aerospace, automotive, electronics, and metallic industries. MMCs comprise a metal as a base material (matrix) and hard ceramic particles such as B_{4}C, SiC, and Al_{2}O_{3} as reinforcement (long fibers, short whiskers, or particulates in irregular or spherical shapes). The properties of MMCs are judged by matrix, reinforcement, and interface between them [2]. They are a material which is difficult to machine due to the presence of hard ceramic particles [3]. Most of the research in the machining of Al/SiCp MMCs has focused on turning and milling, whereas drilling has been given less attention.

##### 1.1. Laser Drilling

The laser drilling system is growing exponentially to suit the alternative program for achieving the major demands of aerospace, automobile, metallic, and electric industrial potential, especially microhole drilling in different components such as watches and turbine blades, fuselages, printed circuit boards, and so on [3]. Pulsed Nd:YAG laser microhole drilling has gained popularity in recent years to be used as an indispensable tool for microhole drilling of components for technologically advanced industries. Laser microhole drilling processes are successfully employed to both conductive and nonconductive materials to remove by evaporation, and the amount of molten material removed depends on the penetration of laser energy generated from a sequence of laser pulses at the same place [4]. Laser drilling in the production industry has been associated with the various advantages of a high rate of machining, noncontact method; hence, there is no damage to tool or tool wear, increased product quality, and less wastage. Highly reflective materials require a low amount of laser power with a short wavelength of Nd:YAG (compared with CO_{2} lasers) [5]. While it possesses several advantages and is widely approved by advanced industries, it also has some defects such as taperness, noncircular holes, HAZ, recast layer, and so on [6].

##### 1.2. Genetic Programming

Genetic programming (GP) is the most effective tool used to predict the behaviour of various processes and for the formation of empirical modeling. Normally, GP supports the process of evolution in nature—Darwin’s theory of “*survival of the fittest*”—to find the best solution to an assigned problem. GP is known as the generalized form of the genetic algorithm (GA) and has been extensively studied [7–9]. In GP, the model is represented by terminals and functions. A well-known implementation of GP is in symbolic regression and is used to determine the mathematical expression for a given set of variables and functions. The function is generated using a Boolean operator (AND, OR, NOT, or AND NOT), nonlinear operators (sin, cos, tan, exp, tanh, and log), and from basic mathematical operators (+, −, /, and ×). The fitness function is calculated as the error between the actual value and the predicted value of the symbolic expressions. In GP, individual terms are randomly initialized, and the population is progressed to find out the optimal solutions through various operations such as reproduction, crossover, and mutation. The reproduction process produces children as an input to the next generation by replicating a fraction of the parent selected by the current generation. Individuals having highest fitness values in the population are selected as the parent and used for reproduction. Normally, the crossover operation produces children by exchanging some parts of their selected parents. The crossover operation is divided into two types (subtree and node crossover). However, the subtree crossover has shown more significant effect than the node crossover.

A variety of methods are available to develop relationships between inputs and outputs for evaluating outputs under varying input conditions without experimental work. These forecasting output data are derived in the form of equations using artificial neural network, statistical regression methods like linear regression, response surface, ANOVA, etc., with limited accuracy. To obtain higher accuracy at about 99.3 to 99.8% for the mathematical model derived, the effective method available is genetic programming which is an application of machine learning or artificial intelligence using inbuilt algorithms. The use of the GP approach with experimental data to develop a mathematical model involving laser microhole drilling input and output parameters is presented in this work. These mathematical models can be used to study the production of high-quality microdrills of the pulsed Nd:YAG laser used in Al7075/SiCp MMCs by minimizing the microhole drilling defects, such as the degree of taperness of a hole, spatter, and heat affected zone width, and to maximize a hole circularity [10]. The various drilling input parameters involved are pulse power (), pulse frequency (), assistance of gas pressure (), and pulse width () [11].

#### 2. Materials and Methods

In the present work, using the stir casting technique, an MMC consisting of aluminum alloy 7075 as a base metal reinforced with particulates of silicon carbide having a size of 40–50 *μ*m for 10% volume fractions is produced. The microholes were drilled onto MMC plates using the pulsed Nd:YAG laser beam system (Model: JK300D), and the tests were carried out at its maximum power capacity of 16 kW. Various input parameters such as laser input power (), pulse frequency (), assistance of gas pressure (), and pulse width () at different levels have been selected. The experimental results for various levels of input factors of laser microhole drilling of MMC (Al7075/10%SiCp) plate of 2 mm thick are shown in Tables 2–5. For a smaller diameter hole, laser microdrilling is preferred, especially when the materials are very hard, extra thin, or made of glass and composites. The quality of these holes mainly depends on heat affected zone (HAZ) of hole walls, taperness formed when the hole is enlarged, circularity to maintain the uniform dimension of the circular hole, and spatter occurring at the ends of a hole during resolidification of material [12, 13].

The input parameters of different levels can improve the quality of drilled holes. The quality of holes was determined using optical measuring microscope OLYMPUS STM6 on a cut sectioned hole sample by measuring circularity, spatter, HAZ, and taper characteristics, and in each experimental run, the laser was drilled at a spot size of 180 *μ*m [10]. Various studies have been conducted to investigate the effects of input control parameters on the defects developed by the laser microdrilling process [14, 15]. Due to an internal focusing of the issue of a laser drilling process, hole taperness and noncircularity affect the quality of holes [16]. Normally, there is spatter accumulation due to an incomplete suspension of removed MMC at the drilling zone which resolidifies and adheres around the whole circumference. Hence, it is advisable to produce high-quality circular microdrilled holes with the minimum amount of taper, spatter, and HAZ width. The above-said qualities are to be determined by the level of input parameters which requires a mathematical model to study the process condition capable of producing the desired quality of product. However, this model is to be derived in such a way that all the characteristics measuring qualities are quickly measurable simultaneously [11].

#### 3. Genetic Programming Methodology

Various stages of GP involved in the flowchart are as follows:

For the analysis of multiple characteristics of neodymium: yttrium aluminum garnet laser drilling of aluminum matrix/silicon carbide particulate MMCs such as circularity, taper, spatter, and HAZ, data accumulations of experiments were carried out as per stages involved in Figure 1. The accumulated data were randomized using notitia Discipulus^{TM} software and were provided to the software in three groups, viz., training, validation, and applied [17]. The three sets of data are generated by experimental results provided. Higher numbers of experiment running around more than 100 are required for best solution. Test runs were conducted to determine desirable parameters generating an optimal solution in the minimum possible time. Initially, the tests were carried out at the default parameter settings, such as population size, crossover rate, DSS subset size, and so on, and later varied to find optimum values [18]. The different parameters involved in achieving the final mathematical model satisfying the results are tabulated in Table 1. It shows the flow of set required to achieve the final model which could provide us a mathematical model satisfying the above conditions of the quantity involved [19].